Plotters

It is often important to plot the input microphysics data. Some of the modules provide plotting infrastructure to simplify common visualization tasks.

eos plotter (eos/plotter)

These plotting programs and scripts aim to make it simple to plot EOS quantities.

The options that control what data is output by the program are documented in the file inlist_plotter. This inlist contains two namelists: the eos namelist that controls the MESA eos module and the plotter namelist that controls the plotter program (see source in src/eos_plotter.f90). Edit these namelists so that the plotter will output the desired quantities.

Then, run the plotter:

make plot

kap plotter (kap/plotter)

These plotting programs and scripts aim to make it simple to plot opacities.

The options that control what data is output by the program are documented in the file inlist_plotter. This inlist contains two namelists: the kap namelist that controls the MESA kap module and the plotter namelist that controls the plotter program (see source in src/kap_plotter.f90). Edit these namelists so that the plotter will output the desired quantities.

Then, run the plotter:

make plot

This will produce a plot file kap_plotter.png that you can then view. You may need to edit the python file to manually adjust various aspects of the plotting (e.g., colorbar limits).

neu plotter (neu/plotter)

These plotting programs and scripts aim to make it simple to plot thermal neutrino energy loss rates.

To use them, first compile the neu plotter program:

./clean
./mk

The options that control what data is output by the program are documented in the file inlist_plotter. This inlist contains two namelists: the neu namelist that controls the MESA neu module and the plotter namelist that controls the plotter program (see source in src/neu_plotter.f90). Edit these namelists so that the plotter will output the desired quantities.

Then, run the plotter:

./plotter

This will create an output data file neu_plotter.dat.

A python script that knows how to read this file and plot it using matplotlib is provided. You can invoke it via:

./plotter.py

This will produce a plot file neu_plotter.png that you can then view. You may need to edit the python file to manually adjust various aspects of the plotting (e.g., colorbar limits).